Spawn isolated sub-agent contexts for parallel divergent ideation and structured convergence.
npx skills add https://github.com/loveconnor/clove-skills --skill adhd-loveconnor
Please help me install this Agent Skill. Skill: adhd Source: https://github.com/loveconnor/clove-skills/tree/main/.agents/skills/adhd Command: npx skills add https://github.com/loveconnor/clove-skills --skill adhd-loveconnor
This skill solves the problem of cognitive bias and premature convergence on suboptimal solutions during high-stakes decision-making processes.
Invoke the adhd skill by typing $adhd followed by your complex architectural or product problem to begin the divergent ideation process.
High-intent search queries and answers about installing and using this skill.
Parallel divergent ideation prevents premature convergence by spawning isolated cognitive frames to generate diverse, non-obvious options simultaneously. This structured approach avoids cognitive bias and suboptimal solutions during high-stakes decision-making.
Parallel divergent ideation generates diverse strategic options by maintaining frame independence in isolated sub-agent contexts. It then applies structured convergence through rigorous scoring, clustering, and deepening to identify the strongest product direction paths.
Invoke the ideation process with your architectural problem to spawn isolated frames that generate non-obvious options. The process filters out traps using rigorous scoring and clustering before you commit to a costly API path.
Yes, structured convergence filters out obvious defaults by applying rigorous scoring and clustering to diverse options. It is designed exactly for creative-concept problems where avoiding conventional traps is critical to the outcome.
Yes, spawning isolated sub-agent contexts is required to maintain frame independence during the generation and focus phases. This ensures diverse options remain unpolluted during complex problem-solving and high-stakes decision-making.
Avoid using parallel divergent ideation for straightforward decisions that do not risk premature convergence on suboptimal solutions. It is specifically built for complex, high-stakes tasks where exploring unconventional alternatives is critical.
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